MATLAB Code for performing the interval jitter hypothesis test in a closed-form fashion.
Interval jitter and spike resampling methods are used to analyze the
time scale on which temporal correlations occur. They allow the
computation of jitter corrected cross correlograms and the performance of an
associated statistically robust hypothesis test to decide whether observed
correlations at a given time scale are significant. Currently used
Monte Carlo methods approximate the probability distribution of
coincidences. They require generating
The code here was was developed for the following technical report.
@TechReport{Jeck_Niebur15c,
Title = {Closed Form Jitter Analysis of Neuronal Spike Trains},
Author = {Daniel Jeck and Ernst Niebur},
Institution = {Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University},
Year = {2015},
Note = {arXiv:1502.07907 [q-bio.NC]},
Number = {DJEN-2015.1},
Owner = {niebur},
Timestamp = {2015.02.27}
}
If you use this code in your own work please cite it.
This work was also presented at CISS 2015
D. Jeck and E. Niebur, "Closed form jitter methods for neuronal spike train analysis," 2015 49th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, 2015, pp. 1-3. doi: 10.1109/CISS.2015.7086908
The function to perform the interval jitter hypothesis test is jitter_closed_form.m, which calls generate_table.m.
speed_test.m and speed_test2.m were used to generate the figures in the technical report.